Data Scientist
Madrid_office Corporate
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingAnalyze large datasets to find trends, patterns and correlations
Develop, implement and optimize predictive models and algorithms
Clean and transform raw data into usable formats
Present insights via visualizations, reports and dashboards to senior leadership
From the employer’s posting
Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques.
Develop, implement, and optimize predictive models and algorithms to address business challenges.
Clean, preprocess, and transform raw data into usable formats for analysis.
Present findings and insights through reports, dashboards, and presentations to senior leadership.
What you’ll bring
All qualificationsCore experience
- At least 3 years in data science
- Bachelor's or Master's in Computer Science, Statistics, Mathematics, Data Science or related field
- Strong analytical and complex problem-solving skills
- Excellent written and verbal communication for non-technical audiences
Preferred experience
- Experience building predictive models and working with large datasets
Qualification wording
At least 3 years in data science
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Strong analytical skills with the ability to solve complex problems using data-driven approaches.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Experience in building predictive models and working with large datasets is highly preferred.
Education & alternatives
TechnKey Responsibilities: • Data Analysis: Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques. • Model Development: Develop, implement, and optimize predictive models and algorithms to address business challenges. • Data Preprocessing: Clean, preprocess, and transform raw data into usable formats for analysis. • Collaboration: Work with product managers, engineers, and other stakeholders to understand business requirements and deliver impactful solutions. • Visualization: Create clear and effective data visualizations to communicate insights to both technical and non-technical audiences. • Reporting: Present findings and insights through reports, dashboards, and presentations to senior leadership. • Research & Innovation: Stay updated with the latest developments in data science, machine learning, and AI to apply cutting-edge techniques and tools. Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Work Experience:
Posting record
Report an errorOpen 5 monthsWe first saw this listing 166 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 9, 2026 · 166 days ago
- Recorded sightings
- 294
- Last seen by us
- Oct 21, 2026
- Employer says posted
- Feb 11, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
We’re looking for motivated, engaged people to help make everyone’s journeys better.
TechnKey Responsibilities:
• Data Analysis: Analyze large datasets to identify trends, patterns, and correlations using statistical and machine learning techniques.
• Model Development: Develop, implement, and optimize predictive models and algorithms to address business challenges.
• Data Preprocessing: Clean, preprocess, and transform raw data into usable formats for analysis.
• Collaboration: Work with product managers, engineers, and other stakeholders to understand business requirements and deliver impactful solutions.
• Visualization: Create clear and effective data visualizations to communicate insights to both technical and non-technical audiences.
• Reporting: Present findings and insights through reports, dashboards, and presentations to senior leadership.
• Research & Innovation: Stay updated with the latest developments in data science, machine learning, and AI to apply cutting-edge techniques and tools.
Education:
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Work Experience:
At least 3 years in data science
Experience in building predictive models and working with large datasets is highly preferred.
Technical Skills:
• Problem-Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.
• Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
If you want to be part of a team that helps make travel and culinary memories, join us!
Source details
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- Pay
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- Location & working pattern
Madrid_office Corporate
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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